1. 编译静态库

1. 拉取opencv源码：
   https://github.com/opencv/opencv.git
2. 进入源码根目录，在platforms/linux目录下创建编译脚本build_linux.sh

cd platforms/linux
vi build_linux.sh

脚本里配置cmake编译参数，这里编译静态库需要将
-DBUILD_SHARED_LIBS=OFF
如果-DBUILD_opencv_world=ON，所有静态库会集中在一个opencv_world里。
可以根据自己的需求打开或关闭对应的开关。

#!/bin/bash
BUILD_TYPE='Release'

rm -rf build_linux

mkdir build_linux
cd build_linux

cmake ../../../  \
    -DCMAKE_BUILD_TYPE=RELEASE \
    -DBUILD_opencv_python2=OFF \
    -DBUILD_opencv_python3=OFF \
    -DBUILD_SHARED_LIBS=OFF \
    -DBUILD_opencv_java=OFF \
    -DBUILD_opencv_world=ON \
    -DBUILD_JAVA=OFF \
    -DBUILD_ANDROID_EXAMPLES=OFF \
    -DWITH_OPENCL=OFF \
    -DWITH_IPP=OFF \
    -DWITH_TBB=OFF \
    -DBUILD_EXAMPLES=OFF \
    -DBUILD_TESTS=OFF \
    -DBUILD_PERF_TESTS=OFF \
    -DBUILD_DOCS=OFF

make -j8

这里我们只编译不安装，如果要安装，需要执行make install。

3. 编译完成后，在build_linux/lib和build_linux/3rdparty/lib下面产生静态库，都是需要的。

2. 链接及测试

为了检查静态库能否正常使用，搭建了简单的cmake测试工程

1. 把头文件和编译好的制品库拷贝到测试工程下
2. 添加测试代码test.cpp

#include <iostream>
#include <opencv2/opencv.hpp>
using namespace std;

int main() {
    cv::Mat image = cv::imread("your_dir/IMG_1811.JPG", cv::IMREAD_COLOR);
    if (image.empty()) {
        cerr << "Failed to read image" << endl;
        return -1;
    }
    return 0;
}

1. 添加cmakelist.txt, 注意：

• 除了添加opencv_world还要添加3rdparty的那几个依赖库；
• target_link_library()要加上-lz, -ldl两个选项；

cmake_minimum_required(VERSION 3.10)
project(OpenCVTest)
message("project root path is ${CMAKE_CURRENT_SOURCE_DIR}")
set(CMAKE_CXX_FLAGS "-pthread" )
set(ROOT_PATH ${CMAKE_CURRENT_SOURCE_DIR})
set(OPENCV_LIB_PATH "${CMAKE_CURRENT_SOURCE_DIR}/libs/linux/x86-64")

macro(OPENCV_IMPORT_LIBS LibsList LibName LibPaths)
    message(STATUS "import libs ${LibName}!")

    add_library(${LibName} STATIC IMPORTED GLOBAL)
    set_target_properties(${LibName} PROPERTIES IMPORTED_LOCATION ${LibPaths})

    list(APPEND ${LibsList} ${LibName})
endmacro(OPENCV_IMPORT_LIBS LibsList LibName LibPaths)

include_directories(${ROOT_PATH}/include)


OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_world     "${OPENCV_LIB_PATH}/libopencv_world.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_llmlmf    "${OPENCV_LIB_PATH}/libIlmImf.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_libjpeg   "${OPENCV_LIB_PATH}/liblibjpeg-turbo.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_libpng    "${OPENCV_LIB_PATH}/liblibpng.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_libtiff   "${OPENCV_LIB_PATH}/liblibtiff.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_libjasper "${OPENCV_LIB_PATH}/liblibjasper.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_libnotify "${OPENCV_LIB_PATH}/libittnotify.a")
OPENCV_IMPORT_LIBS(OPENCV_LIBS opencv_libwebp    "${OPENCV_LIB_PATH}/liblibwebp.a")


file(GLOB_RECURSE WRAPPER_SRCS 
        ${CMAKE_CURRENT_SOURCE_DIR}/src/*.cpp
    )

add_executable(OpenCVTest ${WRAPPER_SRCS})

target_link_libraries(OpenCVTest
    ${OPENCV_LIBS}
    -lz
    -ldl
)

2. 编译
   在工程根目录下创建build.sh脚本

#!/bin/bash
if [ -d "build" ]; then
   echo "clean build dir... "
   rm -rf build
fi

mkdir build
cd build
cmake ..
make

3. 测试
   如果上一步没有问题，进入build目录，run可执行文件即可

cd build
./OpencvTest

如果没有报错就可以了。